This book offers a comprehensive introduction to the subject of control engineering. Both continuous- and discrete-time control systems are treated, although the emphasis is on continuous-time systems. A chapter each is devoted to in-depth analysis of non-linear control systems, control system components, and optimal control theory. The book also introduces students to the modern concepts of neural fuzzy and adaptive learning systems.
• Detailed coverage of state space techniques for continuous- and discrete-time control systems.
• Lucid explanations of controllability and observability concepts and tests.
• Simple treatment of compensation design techniques.
• Extensive treatment of optimal system design.
• Presentation of several practical applications of control engineering.
• Many solved examples in each chapter to reinforce understanding of the topics covered.
• Several typical solved problems of greater analytical nature and numerous objective type questions and exercises in concluding chapters.
Well-written and easy to follow, the book is addressed to the needs of undergraduate engineering students, for a first-course in control theory, of electrical, electronics, mechanical, industrial, aerospace, and chemical disciplines.